Data Scientist

PNC Bank•Pittsburgh, PA

1d•Onsite

About The Position

The Data Scientist works within PNC's Data and Automation organization and is based in Pittsburgh, Pennsylvania; Strongsville, Ohio; Dallas, Texas; Birmingham, Alabama; Lakewood, Colorado; or Phoenix, Arizona. The role combines traditional data science with generative AI capabilities, focusing on building, deploying, and operating intelligent agents and internal tools to improve team and departmental workflows. Agents may use Copilot and related platforms, and solutions are intended to address practical business needs, improve efficiency, and scale decision-making. The position analyzes structured and unstructured data to produce actionable business insights. It involves gathering, processing, and mining large, complex datasets; developing predictive algorithms with mathematical and statistical techniques such as machine learning; and conducting analytical experiments to identify product and process improvements. The Data Scientist may work with Data Architects, Data Analysts, Data Engineers, and Visualization Experts to develop data-driven solutions and present findings to management through visualization and data storytelling. PNC describes itself as an in-office company and encourages candidates to discuss workplace expectations with their recruiter and hiring manager. PNC will not sponsor employment visas or participate in STEM OPT for this position.

Requirements

Experience building or implementing intelligent agents or automation solutions.
Familiarity with using Copilot to design, configure, or extend agent-based workflows.
Strong foundation in statistical analysis and data-mining techniques.
Experience with data management and analytics use cases.
Familiarity with Microsoft Power Platform, including Power Automate, Power Apps, and Power BI.
Comfort working with structured and unstructured data sources.
Ability to translate business needs into automated, data-driven solutions.
Strong problem-solving skills and a bias toward practical, scalable implementation.
Typically, a university or college degree and at least 3 years of relevant or direct industry experience are required; a comparable combination of education, job-specific certifications, and experience may be considered in lieu of a degree.
Demonstrate customer focus and apply customer needs and satisfaction as primary considerations in business decisions.
Assess and manage risks associated with business objectives and activities in accordance with PNC's Enterprise Risk Management Framework.

Nice To Haves

Master's degree.
Certifications are often desired.
Skills in analytical thinking, competitive advantages, data analytics, data mining, data science, and machine learning.
Competencies in data architecture, data mining, disruptive innovation, information capture, machine learning, data/process/events/objects modeling, prototyping, and query and database access tools.

Responsibilities

Design, build, and deploy intelligent agents to automate team and departmental workflows.
Implement and extend agents using Copilot and related generative AI tools.
Develop internal tools and automation solutions that improve data access, analysis, and decision-making.
Apply statistical analysis and data-mining techniques to support agent logic, insights, and recommendations.
Manage and prepare data pipelines for analytical and generative AI use cases.
Partner with stakeholders to identify opportunities for automation and agents to improve efficiency or scale.
Integrate agents and tools with existing platforms and business processes.
Monitor, tune, iterate on, and continuously improve deployed agents.
Document solutions and share best practices to support adoption across teams.
Gather, process, and mine large and complex datasets.
Develop algorithms using advanced mathematical and statistical techniques, including machine learning, to predict business outcomes and recommend actions.
Run analytical experiments methodically to find product and process optimization opportunities.
Present business insights to management using visualization technologies and data storytelling.
Partner with data specialists to develop data-driven business solutions.

Benefits

Medical and prescription drug coverage, with a Health Savings Account feature.
Dental and vision coverage options.
Employee and spouse/child life insurance.
Short- and long-term disability protection.
401(k) with PNC match.
Pension and stock purchase plans.
Dependent care reimbursement account.
Back-up child and elder care.
Adoption, surrogacy, and doula reimbursement.
Educational assistance, including select programs that are fully paid.
Wellness program with financial incentives.
Maternity and/or parental leave.
Up to 11 paid holidays each year.
Nine occasional absence days each year, unless otherwise required by law.
Between 15 and 25 vacation days each year, depending on career level and years of service.
Incentive-eligible compensation based on company, business, and/or individual performance.